Study protocol: evaluation of ‘JenMe’, a commercially-delivered weight management program for adolescents: a randomised controlled trial
© Dordevic et al. 2015
Received: 14 November 2014
Accepted: 10 June 2015
Published: 19 June 2015
Early lifestyle intervention with overweight and obese adolescents could help to avoid serious health events in early adulthood, ultimately alleviating some of the strain on the public health system due to obesity-related morbidity. Commercial weight loss programs have wide reach into the community setting, and have demonstrated success in long term weight management in adults, beyond that of current public health care. Commercial weight-management programs have not been evaluated as a method of delivery for overweight and obese adolescents. This study aims to evaluate the efficacy of a new adolescent weight management program in a commercial environment.
One hundred and forty adolescents, 13 to 17 years old, will be randomised to either a weight management program intervention or a wait-listed group for 12 weeks. The commercial program will consist of a combined dietary and lifestyle approach targeting improved health behaviours for weight-loss or weight-stability. Participants will be overweight or obese (above the 85th percentile for BMI) and without existing co-morbidities. Outcome measures will be assessed at baseline and after 12 weeks. Primary outcome measures will be changes in BMI Z-score and waist-height ratio. Secondary outcome measures will include changes in behaviour, physical activity and psychosocial wellbeing. Intervention participants will be followed up at 6 months following completion of the initial program. Ethics approval has been granted from the Monash University Human Research Ethics Committee (CF11/3687–2011001940).
This independent evaluation of a weight management program for adolescents, delivered in a commercial setting, will provide initial evidence for the effectiveness of such programs; which may offer adolescents an avenue of weight-management with ongoing support prior to the development of obesity related co-morbidities.
The protocol for this study is registered with the International Clinical Trials Registry ISRCTN13602313.
KeywordsAdolescent Commercial weight management Obesity
Australian prevalence of overweight and obesity in childhood and adolescence increased from 20.9 % in 1995 to 24.7 % in 2008 . While the trend has started to stabilise, a significant proportion (25.7 % in 2012) of Australian children and adolescents aged 5 to 17 years, remain overweight or obese . Within sub-populations the prevalence can be even higher, for example 31 % of children living in lower socioeconomic status (SES) areas, including rural areas are overweight or obese compared to 18 % of those living in the highest SES areas .
Overweight and obese adolescents are more likely to become overweight and obese adults than healthy weight adolescents . Additionally, obesity-related cardiovascular disease (CVD) risk markers present in adolescence are predictive of adult, obesity related morbidity . A study in Denmark observed that every 1 unit increase in body mass index (BMI) Z-score from age 7 to 13 years in boys and 10 to 13 years in girls, significantly increases the risk of a cardiovascular event in adulthood . A 2001 Australian report suggested that interventions that result in as little as 5 kg weight loss in all overweight and obese individuals could lower the total prevalence of overweight and obesity by 15 % . Thus, adolescent weight management is a significant, modifiable risk factor for the development of cardiovascular morbidity that could lead to premature mortality in adult life [7–9].
There have been two Cochrane reviews of childhood obesity management. The 2009 Cochrane Review considered interventions for treating obesity in children. It included a total of six weight-loss dietary intervention studies (n = 350 participants across age ranges) demonstrating overall beneficial effects of weight-loss on adiposity and BMI Z-score . Twelve physical activity intervention studies were also included, which generally reported no significant change in BMI Z-score or adiposity . Meta-analyses of lifestyle interventions demonstrated a favourable effect on BMI Z-score at 6 months [mean difference (MD) = -0.06 (95 % CI -0.12,–0.01)] in children aged less than 12 years, and in those over 12 years of age [MD-0.14 (95 % CI-0.17,–0.12)]. Parental involvement was noted to be an ingredient for successful intervention. However, the report highlighted the scarcity of studies in the adolescent age range.
The more recent 2011 Cochrane Review focused on interventions for preventing obesity in children and used BMI Z-score as a key outcome measure. The Review demonstrated the very different effects of weight management programs in children compared to adults, with data being abstracted and grouped by age rather than by intervention type. Most new studies included in 2011 were obesity prevention studies in children, the majority of which took place in schools. In the adolescent age group (13 to 18 years), analysis of ten studies demonstrated an overall BMI change of -0.09 kg/m2 (95 % CI-0.20, 0.03) . However a high level of heterogeneity between studies was observed potentially due to inconsistent levels adiposity across studies as different cut-offs and anthropometric measures were applied. Further, the authors stressed an increasing awareness of the need for weight loss maintenance, and recommended that future studies monitor the effectiveness of programs in the longer-term .
A retrospective study that examined the long term effects of a weight management program for individuals (aged 1 to 18 years), delivered by physicians and dietitians in a primary care setting, demonstrated significant reductions in BMI Z-score [MD-0.16 (95 % CI not reported)], and participants subsequently showed improvements in several CVD risk factors such as LDL-cholesterol (p = 0.02), 2 h plasma glucose (p = 0.004) and peak insulin levels (p = 0.04) after a 2 year period . Those who attended sessions more frequently exhibited better results. Improved blood pressure has also been observed in children and adolescents (aged 7 to 15 years) 2 years following an intensive 3-month dietary intervention with a strong follow-up program, that reduced BMI Z-score by-0.16 (95 % CI-0.22,–0.09) at 3 months .
Whilst programs delivered within primary care settings are modestly successful, publicly funded health systems in Australia tend to only accommodate individuals with existing obesity-related comorbidities. There are few treatment options for overweight and obese adolescents without complications. Early behavioural intervention targeted at reducing weight with longer-term maintenance could help reduce the numbers of young patients presenting to the public health system with serious weight-related health events. Evidence suggests obese young people who successfully lose weight do not have obvious complications arising from their obesity, such as insulin resistance .
Randomised controlled trials have demonstrated the superiority of commercially delivered programs for weight management in adults, when compared with usual care through the health service system [15–17]. Commercial weight loss programs are successful in initiating and maintaining long term weight loss in adults  and may also be a successful setting for weight management adolescents. Collaboration between commercial organisations and primary care facilities may be an efficacious strategy to deliver weight management programs on a large scale . Commercial weight management programs can offer ongoing, long term support that cannot be provided by health professionals in primary care and has a wide reach including rural areas and they have the ability to be accessible to individuals within the population that are unable to access primary medical services for weight management . Despite evidence for the benefits from an intensive multifactorial approach to weight-management in adolescents [10, 11, 21], no study to date has examined commercially available and delivered weight management programs specifically tailored to the needs of adolescents.
Jenny Craig Weightloss Centres Pty Ltd, has developed a new 12-week adolescent weight management program, ‘JenMe’. The program involves weekly face to face sessions with a Jenny Craig-trained consultant that includes dietary and behavioural education as well as monitoring of the progress of the adolescents. Menus and foods are provided initially, with support for the adolescent to eventually develop skills in their own menu planning. On completion of the 12 week program on-going support is available that can be tailored to the individual’s needs. The program has not yet been evaluated for efficacy, an essential first step in supporting the claim of an evidence-based approach to weight management in young people. This study aims to address this gap.
We propose to evaluate a commercially delivered adolescent weight management program ‘JenMe’; for efficacy. We know that lifestyle interventions for children are effective in the short term but there are few studies that examine the long term prognosis of short term weight loss and the ability of adolescents to maintain that weight loss over time. Data from the 6-month diet and lifestyle ‘Eat Smart’ intervention for Australian adolescents compared favourably with previously published data (BMI Z-score MD-0.12 (SD 0.10) at 3 months) , but early follow up data have already began to show a plateau in weight loss followed by some weight re-gain. Hence, the current study proposes to follow intervention participant weight management for 6 months after completion of the 12 week program.
This study will be the first to assess an adolescent weight management program that is conducted in a commercial environment. Its findings will inform the literature in the field of adolescent weight-loss and management, and has the potential to unveil an effective solution to adolescents seeking weight management in a community setting.
Study design and participants
Sample size calculations
For the purpose of sample size estimation, the primary outcome of this study was difference in BMI Z-score at 12 weeks. Our own pilot data, and data from the largest RCT in obese adolescents yet published (209 children aged 8-16 with BMI > 95th percentile; Savoye 2007) suggest the standard deviation in BMI Z-score in a non-passive weight loss intervention will be approximately 0.27. Assuming a 2-sided 0.05 significance level, a sample size of 52 participants per group would provide 80 % power to detect a clinically important treatment difference of 0.15 BMI Z-score. To account for a 25 % drop-out, we plan to enrol 70 participants in each group.
Recruitment and randomisation
The study will be advertised within the weight management centres in Victoria, Western Australia, New South Wales and the Australian Capital Territory as well as on the company website. Potentially eligible clients will be assessed in the weight management centres by consultants, guided by dietitians and/or a general practitioner for study eligibility. If participants who meet eligibility criteria are interested in participating in the study, they will be shown an information DVD. All participants will provide written consent that will be obtained by consultants in the weight loss centres from both the adolescent and their parent or guardian. Consenting adolescents will then be recruited into the study via telephone by a researcher.
Allocation to treatment group (intervention or wait-listed control) will occur using computer-generated random numbers. Group allocation will occur off-site by a statistician with no day-to-day study involvement in the trial. Individuals will be allocated 1:1 to the intervention group or wait-listed. Randomisation of the study participants will be stratified by the weight-management centre from which they are enrolled. Within each centre, randomisation will occur in blocks of either 6 or 8. Block size will be randomly selected and unknown to anyone except the study statistician (RSW). Treatment allocation will be stored in an online database, accessible only by the study statistician, and will remain unknown until revealed to the study co-ordinator on the day each participant is allocated to a treatment group. Due to the nature of the intervention masking participants to group allocation is not possible.
Intervention: the JenMe program
Topics covered over 12 weeks within the JenMe program
▪ Decoding drinks
▪ How to move more by tracking how you move less
▪ Body image
▪ Eating out for success
▪ Overcoming your activity barriers
▪ Learning from lapses
▪ Jenny at school & friends’
▪ Setting SMART goals
▪ Rewards & buddies
▪ Meals with the family and fast & healthy after school snacks
▪ Time for a physical activity challenge!
▪ Saying No
▪ Non-hungry eating & learning to eat with awareness
Independent menu planning
Getting started on your own
1. Your own menu guide
2. Working out grocery serves of recipes
3. Working out grocery serves of packaged foods from labels
Initially the participant will follow the menu that includes pre-packaged food provided by the commercial program, combined with their own grocery items. Throughout the program the adolescent, with the support of their consultant and parent or guardian will learn how to plan their own menus using all of their own foods, and either during or following the 12 week program, they will eventually transition onto their own menu planning (Table 1). In accordance with usual practice at Jenny Craig, once the 12 week ‘JenMe’ program is complete, adolescents have the option to receive ongoing, individually-tailored support, depending on the need for further weight-loss or weight-maintenance up to the age of 18 years of age as part of their Jenny Craig membership. Also, as with any commercial program, participants are free to withdraw from the program at any stage, for any reason.
The wait-listed control group will receive standard healthy eating guidelines, the ‘Healthy Eating for Children’ booklet developed by the National Health and Medical Research Council based on the Australian Dietary Guidelines , and advised to maintain their current lifestyle habits for the control period. Wait-listed control participants will be offered the commercial weight management program at the end of the control period (12 weeks).
All study participants, from both the intervention and control groups will receive a free adolescent membership with Jenny Craig, which is valid until they are 18 years of age as well as a discount on all Jenny Craig food provisions for 12 months.
All participants will have their baseline weight, height, waist, and body composition (using bioelectric impedance analysis (BIA); BODYSTAT Quad Scan 4000, BODYSTAT Ltd., Douglas, Isle of Man, UK) measured by trained Jenny Craig consulting staff using standard operating procedures. BMI Z-score will be calculated by the lambda-mu-sigma (LMS) method using Centre for Disease Control reference data (http://www.cdc.gov/growthcharts/percentile_data_files.htm) which takes into account age and gender. Participants will be required to self-assess their pubertal status using the Tanner stages of puberty scale [23, 24]. The intervention group will have weekly weight measurements, height measured every 4 weeks and waist and body composition assessed by BIA measured at 0 and 12 weeks. Wait-listed control participants will have all measurements taken at 0 and 12 weeks only.
Intervention and wait-listed control participants will be required to complete a 4-day food diary, both in the week prior to commencement of the intervention or wait-listed period and again at 12 weeks. Dietary analysis of energy and nutrient intake will be performed using Foodworks 7 (Xyris Software Pty Ltd., QLD, Australia). Foodworks will be supplemented with food composition data of the pre-packaged foods supplied by the commercial weight-management company for assessment of intervention participants’ week 12 energy and micronutrient intake.
In order to monitor physical activity levels, the adolescents in both groups will be required to complete the Adolescent Physical Activity Recall Questionnaire (APARQ), which has been validated in an Australian population ; and complete a 4-day activity diary (Children’s Nutrition Centre, University of Queensland, Australia). A pedometer will be worn over the 4- day period and number of steps will be recorded in the activity diary. This will be performed both in the week prior to commencement of the intervention or wait-listed period and repeated at 12 weeks.
Participant attitudes to eating, self-image and quality of life
Questionnaires will be completed by both groups both in the week prior to commencement in the study and again at week 12 of the intervention or wait-listed period. The questionnaires will be used to assess the impact of the program on psychosocial factors and also the relationship between baseline psychosocial factors and primary outcomes. General and body specific self-esteem will be assessed via the Rosenberg 5-item self-esteem scale questionnaire , and the Mendelson & White 24-item body-esteem questionnaire .
The Eating Attitudes Test (EAT)-26  will be used to measure symptoms and concerns characteristic of eating disorders. The items on this scale will be summed to form three subscales; Dieting, Bulimia and Food Preoccupation and Oral Control.
The Strengths and Difficulties Questionnaire (SDQ) adolescent version report will be used to measure adolescent behaviours, emotions and relationships . The items on this scale will be summed to form five subscales; Emotional Symptoms, Conduct Problems, Hyperactivity, Peer Problems, and Pro-social Behaviour.
The Impact of Weight on Quality of Life-KIDS (IWQOL-Kids) will be used to measure obesity specific health related quality of life . The items on this scale will be summed to form four subscales; Physical Comfort, Body Esteem, Social Life, Family Relations.
The 12-item multidimensional perceived social support questionnaire will also be completed to assess three sources of perceived support: family, friends, and significant other .
Parents and guardians will be required to complete the Strengths and Difficulties Questionnaire (SDQ) parent version report, a measure of adolescent behaviours, emotions and relationships (Subscales; Emotional Symptoms, Conduct Problems, Hyperactivity, Peer Problems, and Prosocial Behaviour)  and a demographic questionnaire prior to their adolescent’s commencement in the study and the SDQ will be repeated during week 12 of the intervention or wait-listed period.
Participants from both groups will be able to volunteer for further metabolic testing. A subset of participants will opt-in to provide a fasting blood sample at 0 and 12 weeks for the assessment of metabolic markers. Blood will be collected in EDTA containing blood tubes (McFarlane Medical & Scientific, NSW, Australia) and immediately centrifuged at 2000 x g for 15 min at 4 °C. Samples will be stored at-80 °C until analysis.
Glucose, cholesterol and triacylglycerol (TAG) concentrations in plasma will be measured on a Roche Cobas Integra 400 plus auto-analyser (Roche, Lavel, Quebec, Canada) by enzymatic colorimetric methods using commercially available kits (CHOL2, TRIGL and Glucose HK Gen 3) as per the manufacturer’s instructions (Roche, Lavel, Quebec, Canada).
Plasma insulin will be determined using the Human Insulin Specific RIA kit HI–14 K (Merck Millipore, Billerica, MA, USA) according to manufacturer’s instructions and read on a Gamma Counter.
Body composition using dual energy x-ray absorptiometry (DXA)
Participants from both groups will be able to volunteer for further body composition assessment. A subset of individuals will opt-in to participate in a whole body DXA scan for body composition at 0, 12 and 36 weeks (intervention only). Participants will attend the laboratory and have their height and weight measured, using standard operating procedures, to determine the correct amount of radiation required for the whole body scan. Whole body composition will be estimated with a GE LUNAR iDEXA Narrow-Angle Dual Energy X-Ray Densitometer with SmartFAN™ (GE Medical, Software Lunar DPX enCORE 2012 version 14.0, Madison, WI).
All outcome measures will be assessed in the intervention participants at a follow-up at 36 weeks after commencement in the program (6 months after program completion), in order to track longer-term weight management. It will not be possible to follow-up the wait-listed participants as a control group as they will have the option to commence the program at end of their 12-week wait-listed period.
Statistical analysis plan
Summary descriptive statistics for demographic and clinical data at baseline will be reported by allocated study treatment. Continuous data will be summarised descriptively using either mean and standard deviation, or median and inter-quartile range, depending on the distribution of the variable of interest. Categorical data will be presented as frequencies and percentages. Comparisons between the treatment groups will be conducted to assess the degree to which comparability of randomisation was achieved.
The primary study outcomes are between-group differences in age and gender adjusted BMI Z-score and waist-to-height ratio at 12 weeks. The mean difference between treatment groups will be calculated using linear regression with treatment group entered as the main effect and covariable adjustment for baseline outcome. The corresponding 95 % Wald confidence interval and p-value will be reported. For secondary outcomes, the effect estimate relating to a variable with a binary outcome will be presented as an odds ratio, which will be calculated using a logistic regression model. The effect estimate relating to a variable with a continuous outcome will be presented as a mean difference, which will be calculated using a linear regression model. The effect estimate relating to a variable with a count outcome will be presented as an incident rate ratio, which will be calculated using a Poisson regression model. For all models considering outcomes measured at 12 weeks, the baseline outcome will be included as a covariable. For all models the corresponding 95 % Wald confidence interval and p-value will be reported.
The initial approach to all analyses will be based on the ‘intention to-treat’ (ITT) principle, where all evaluable data is analysed in the treatment group according to which the participant was allocated. Additionally, because of the potential for differential between-group attrition due to the nature of recruitment, all analyses will be investigated to see whether results are sensitive to possible between-group imbalances in key demographic, social, or clinical characteristics. Characteristics of participants for whom follow-up data is available will be compared between groups, and variables significantly different at P < 0.05 will be identified. Multivariable regression models will be run with treatment group as the main effect and covariables including the value of the outcome at baseline and characteristics identified as differing between treatment groups at follow-up. All sensitivity analyses will be clearly labelled., Statistical significance will be defined as alpha = 0.05. All tests conducted will be two-tailed.
Outcomes measured at six months will be analysed using mixed-effects regression models with a random intercept for each participant. For continuous outcomes Gaussian family and identity link function, for binary outcomes a binomial family and logit link function, and for count outcomes a Poisson family and log link function will be used. All models will include time period (baseline/12 weeks/36 weeks) as a main effect, and other covariables will be included as appropriate.
Ethics and dissemination
It has previously been demonstrated that children randomised to wait-listed or only given written information (control groups) gain weight . Allocating overweight and obese children to be wait-listed for 12 weeks raises ethical concern as weight gain in children that are not treated could be disadvantaged, particularly with children that have identified their need for weight-loss assistance in a community setting. In the current study, as participants will not have weight-related co-morbidities, ethical permission has been approved to delay treatment in a wait-listed control group for 12 weeks after which they will have the opportunity to undertake the commercially available weight management program. Participants have the right to withdraw from the study at any time, for any reason. If a wait-listed control participant chooses to commence the program immediately, it will be made available to them, but they will not participate in the study. Ethical approval for the study has been granted by Monash University Human Research Ethics Committee (approval no: CF11/3687–2011001940).
Tailored weight management strategies are needed to reduce the growing prevalence of adolescent overweight and obesity, and consequent burden of disease in young people. However, interventions must be delivered with care to avoid the promotion of harmful teenage dieting and take precautions to ‘do no harm’. Body image is an highly ranked concern among Australian adolescents . Concerns over body image have been linked to engagement in dieting behaviours that can lead to disordered eating . A USA study showed that of 2287 surveyed adolescents 61 % of girls and 28 % of boys had engaged in unhealthy weight-loss behaviours . Furthermore, the incidence of these behaviours has been observed to increase with age . The JenMe adolescent program is designed to engage and educate adolescents using evidence-based principles for healthy eating and activity behaviours, rather than promote dieting with unhealthy weight-management outcomes. The validated questionnaires that are being used to assess the safety and efficacy of the program are designed to evaluate whether the program can nurture positive outcomes rather than facilitate harmful behaviours.
Commercial programs are currently available within the community and have demonstrated to be successful in an adult population [15, 17]. Such programs have the resources to provide ongoing, long term support that is not always provided by health professionals in primary care due to restraints on time and patient load . This study is designed to determine whether a multi-faceted, commercial weight management program, delivered in a community setting will be a useful resource for overweight and obese adolescents.
This study will observe changes in body measures including BMI Z-score and waist to height ratio, and outcomes such as quality of life, in order to thoroughly assess the efficacy and safety of the program.
The authors would like to acknowledge Alison Evans for her assistance in setting up the DXA facility and training staff at the Department of Nutrition and Dietetics, Monash University.
This study is supported by Jenny Craig Weightloss Centres Pty Ltd., a commercial organisation, which will provide program activities and materials. Pre-packaged food will be provided by Jenny Craig at a discount to study participants. Funding will be provided through a clinical trial contract to the coordinating centre (Department of Nutrition & Dietetics, Monash University, Notting Hill).
Jenny Craig had minimal role in the design and protocol development for the evaluation of the program. By contractual agreement, scientists at Monash University and other participating institutions have responsibility and independence regarding data management, analysis and publication.
- ABS: Australian Bureau of Statistics. Australian health survey, updated results 2011-2012, vol. 2013. Canberra: Australian Bureau of Statistics; 2013.Google Scholar
- AIHW, AIHW: Australian Institute of Health & Welfare. Headline indicators for children's health, development and wellbeing, vol. 2011. Canberra: Australian Institute of Health & Welfare; 2011.Google Scholar
- Patton GC, Coffey C, Carlin JB, Sawyer SM, Williams J, Olsson CA, et al. Overweight and obesity between adolescence and young adulthood: a 10-year prospective cohort study. J Adolesc Health. 2011;48(3):275–80.View ArticlePubMedGoogle Scholar
- Freedman DS, Dietz WH, Srinivasan SR, Berenson GS. The relation of overweight to cardiovascular risk factors among children and adolescents: the Bogalusa heart study. Pediatrics. 1999;103(6):1175–82.View ArticlePubMedGoogle Scholar
- Baker JL, Olsen LW, Sorensen TIA. Childhood body-mass index and the risk of coronary heart disease in adulthood. N Engl J Med. 2007;357(23):2329–37.View ArticlePubMedPubMed CentralGoogle Scholar
- Marks G, Coyne C, Pang G. Type 2 diabetes costs in Australia - the potential impact of changes in diet, physical activity and levels of obesity. In: Brisbane: Australian Food and Nutrition Modelling Unit: Commenwealth Department of Health & Aged Care. Canberra: Commonwealth Department of Health and Ageing, 2001.Google Scholar
- Masquio DC, de Piano A, Sanches PL, Corgosinho FC, Campos RM, Carnier J, et al. The effect of weight loss magnitude on pro-/anti-inflammatory adipokines and carotid intima-media thickness in obese adolescents engaged in interdisciplinary weight loss therapy. Clin Endocrinol (Oxf). 2013;79(1):55–64.View ArticleGoogle Scholar
- Abrams P, Levitt Katz LE, Moore RH, Xanthopoulos MS, Bishop-Gilyard CT, Wadden TA, et al. Threshold for improvement in insulin sensitivity with adolescent weight loss. J Pediatr. 2013;163(3):785–90.View ArticlePubMedGoogle Scholar
- Juonala M, Magnussen CG, Berenson GS, Venn A, Burns TL, Sabin MA, et al. Childhood adiposity, adult adiposity, and cardiovascular risk factors. N Engl J Med. 2011;365(20):1876–85.View ArticlePubMedGoogle Scholar
- Oude Luttikhuis H, Baur L, Jansen H, Shrewsbury VA, O’Malley C, Stolk RP, et al. Interventions for treating obesity in children. Cochrane Database Syst Rev. 2009;1:CD001872.Google Scholar
- Waters E, de Silva-Sanigorski A, Hall BJ, Brown T, Campbell KJ, Gao Y, et al. Interventions for preventing obesity in children. Cochrane Database Syst Rev. 2011;12:CD001871.Google Scholar
- Kubicky RA, Dunne C, Nandi-Munshi D, De Luca F. Long-term effects of a non-intensive weight program on body mass index and metabolic abnormalities of obese children and adolescents. Int J Pediatr Endocrinol. 2012;2012:16.View ArticlePubMedPubMed CentralGoogle Scholar
- Mirza NM, Palmer MG, Sinclair KB, McCarter R, He J, Ebbeling CB, et al. Effects of a low glycemic load or a low-fat dietary intervention on body weight in obese Hispanic American children and adolescents: a randomized controlled trial. Am J Clin Nutr. 2013;97(2):276–85.View ArticlePubMedGoogle Scholar
- Baxter KA, Ware RS, Batch JA, Truby H. Predicting success: factors associated with weight change in obese youth undertaking a weight management program. Obes Res Clin Pract. 2013;7(2):e147–54.View ArticlePubMedGoogle Scholar
- Jolly K, Lewis A, Beach J, Denley J, Adab P, Deeks JJ, et al. Comparison of range of commercial or primary care led weight reduction programmes with minimal intervention control for weight loss in obesity: Lighten up randomised controlled trial. BMJ. 2011;343:d6500.View ArticlePubMedPubMed CentralGoogle Scholar
- Truby H, Bonham M. What makes a weight loss programme successful? BMJ. 2011;343:d6629.View ArticlePubMedGoogle Scholar
- Rock CL, Flatt SW, Sherwood NE, Karanja N, Pakiz B, Thomson CA. Effect of a free prepared meal and incentivized weight loss program on weight loss and weight loss maintenance in obese and overweight women: a randomized controlled trial. JAMA. 2010;304(16):1803–10.View ArticlePubMedGoogle Scholar
- Truby H, Baxter K, Elliott S, Warren J, Davies P, Batch J. Adolescents seeking weight management: who is putting their hand up and what are they looking for? J Paediatr Child Health. 2011;47(1-2):2–4.View ArticlePubMedGoogle Scholar
- Lavin JH, Avery A, Whitehead SM, Rees E, Parsons J, Bagnall T, et al. Feasibility and benefits of implementing a slimming on referral service in primary care using a commercial weight management partner. Public Health. 2006;120(9):872–81.View ArticlePubMedGoogle Scholar
- WHO: World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO consultation (WHO technical report series 894). Geneva: World Health Organization; 2000.Google Scholar
- Ho M, Garnett SP, Baur LA, Burrows T, Stewart L, Neve M, et al. Impact of dietary and exercise interventions on weight change and metabolic outcomes in obese children and adolescents: a systematic review and meta-analysis of randomized trials. JAMA Pediatr. 2013;167(8):759–68.View ArticlePubMedGoogle Scholar
- NHMRC. National Health & Medical Research Council. Australian dietary guidelines. Canberra: National Health & Medical Research Council; 2013.Google Scholar
- Marshall WA, Tanner JM. Variations in pattern of pubertal changes in girls. Arch Dis Child. 1969;44(235):291–303.View ArticlePubMedPubMed CentralGoogle Scholar
- Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child. 1970;45(239):13–23.View ArticlePubMedPubMed CentralGoogle Scholar
- Booth ML, Okely AD, Chey TN, Bauman A. The reliability and validity of the adolescent physical activity recall questionnaire. Med Sci Sports Exerc. 2002;34(12):1986–95.View ArticlePubMedGoogle Scholar
- Simmons RG, Rosenberg F, Rosenberg M. Disturbance in the self-image at adolescence. Am Sociol Rev. 1973;38(5):553–68.View ArticlePubMedGoogle Scholar
- Mendelson BK, White DR. Relation between body-esteem and self-esteem of obese and normal children. Percept Mot Skills. 1982;54(3):899–905.View ArticlePubMedGoogle Scholar
- Garner DM, Olmsted MP, Bohr Y, Garfinkel PE. The eating attitudes test: psychometric features and clinical correlates. Psychol Med. 1982;12(4):871–8.View ArticlePubMedGoogle Scholar
- Goodman R. The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiatry. 1997;38(5):581–6.View ArticlePubMedGoogle Scholar
- Kolotkin RL, Zeller M, Modi AC, Samsa GP, Quinlan NP, Yanovski JA, et al. Assessing weight-related quality of life in adolescents. Obesity. 2006;14(3):448–57.View ArticlePubMedPubMed CentralGoogle Scholar
- Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. J Pers Assess. 1988;52(1):30–41.View ArticleGoogle Scholar
- Maiano C, Morin AJ, Lanfranchi MC, Therme P. The Eating Attitudes Test-26 revisited using exploratory structural equation modeling. J Abnorm Child Psychol. 2013;41(5):775–88.View ArticlePubMedGoogle Scholar
- Johnson S, Hollis C, Marlow N, Simms V, Wolke D. Screening for childhood mental health disorders using the Strengths and Difficulties Questionnaire: the validity of multi-informant reports. Dev Med Child Neurol. 2014;56(5):453–9.View ArticlePubMedGoogle Scholar
- Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA. Psychometric characteristics of the Multidimensional Scale of Perceived Social Support. J Pers Assess. 1990;55(3-4):610–7.View ArticlePubMedGoogle Scholar
- Wilfley DE, Tibbs TL, Van Buren DJ, Reach KP, Walker MS, Epstein LH. Lifestyle interventions in the treatment of childhood overweight: a meta-analytic review of randomized controlled trials. Health Psychol. 2007;26(5):521–32.View ArticlePubMedPubMed CentralGoogle Scholar
- Mission Australia Youth Survey [https://www.missionaustralia.com.au/what-we-do/research-evaluation/youth-survey]
- Moore DC. Body image and eating behavior in adolescents. J Am Coll Nutr. 1993;12(5):505–10.View ArticlePubMedGoogle Scholar
- Neumark-Sztainer D, Wall M, Larson NI, Eisenberg ME, Loth K. Dieting and disordered eating behaviors from adolescence to young adulthood: findings from a 10-year longitudinal study. J Am Diet Assoc. 2011;111(7):1004–11.View ArticlePubMedPubMed CentralGoogle Scholar
- Liechty JM, Lee MJ. Longitudinal predictors of dieting and disordered eating among young adults in the U.S. Int J Eat Disord. 2013;46(8):790–800.View ArticlePubMedGoogle Scholar
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